Introduction to Optimization


Course information

** Attention! Due to health reasons, we will unfortunately have to postpone this short course to another time. We will post more information here as soon as possible. We apologize for the inconvenience.***

Description

This 4-day course offers a compact introduction to mathematical optimization aimed at young researchers. We invite researchers in non-mathematical fields as well as in mathematics to attend the classes. The goal of the course is to enable the participants to recognize the characteristics of a given optimization problem, to understand its difficulties and limitations, and to choose suitable solution methods as well as to develop ideas on how to model problems from their own field as optimization problems.

Program

On each of the four days from October 10-13 2022, we will focus on one of the following four categories of optimization problems: day 1) unconstrained optimization day 2) convex optimization day 3) nonlinear optimization day 4) infinite-dimensional optimization

For each of these problem classes, we will study meaningful examples, the relevant theory and prominent solution algorithms. Every day consists of a 90-minute lecture part in the morning (10:00am-12:00 pm) and a 90-minute hands-on exercise session in the afternoon (1:00-3:00 pm). For the hour-long break 12:00-1:00 pm, we would like to invite the participants to join us at the nearby Bräustadl for lunch.

Credit and Registration

Registration is required! Please register via email to the office of the graduate school. You can find additional information such as on credit points at the website of the HGS.

Content

Lecture notes

Coming soon.

Additional material for lectures

Coming soon.

Exercise sheets

Coming soon.

Additional material for exercise sheets

Coming soon.